Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jiheon Kang"'
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4588 (2024)
This paper focuses on improving automated approaches to glaucoma diagnosis, a severe disease that leads to gradually narrowing vision and potentially blindness due to optic nerve damage occurring without the patient’s awareness. Early diagnosis is
Externí odkaz:
https://doaj.org/article/e678e0944aed4f1aba1612585f45adb1
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4595 (2024)
In recent industrial settings, time-of-flight (ToF) cameras have become essential tools in various applications. These cameras provide high-performance 3D measurements without relying on ambient lighting; however, their performance can degrade due to
Externí odkaz:
https://doaj.org/article/eb0a2a6513274b00a968b6916d6b77f2
Autor:
Jiheon Kang, Doo-Seop Eom
Publikováno v:
Sensors, Vol 19, Iss 4, p 835 (2019)
We present a machine and deep learning method to offload trained deep learning model and transmit packets efficiently on resource-constrained internet of things (IoT) edge devices and networks. Recently, the types of IoT devices have become diverse a
Externí odkaz:
https://doaj.org/article/82e8927b3b24467d864216c8e70cf005
Publikováno v:
Sensors, Vol 18, Iss 9, p 3149 (2018)
We introduce a novel method for indoor localization with the user’s own smartphone by learning personalized walking patterns outdoors. Most smartphone and pedestrian dead reckoning (PDR)-based indoor localization studies have used an operation betw
Externí odkaz:
https://doaj.org/article/268776b5c3d841e59d12ff8f6ed03736
Autor:
Jiheon Kang
Publikováno v:
Journal of Institute of Control, Robotics and Systems. 27:776-783
Publikováno v:
Journal of Institute of Control, Robotics and Systems. 24:930-938
Publikováno v:
IEEE Transactions on Industrial Electronics. 65:4279-4289
In many water distribution systems, a significant amount of water is lost because of leakage during transit from the water treatment plant to consumers. As a result, water leakage detection and localization have been a consistent focus of research. T
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 18
Issue 9
Sensors, Vol 18, Iss 9, p 3149 (2018)
Sensors
Volume 18
Issue 9
Sensors, Vol 18, Iss 9, p 3149 (2018)
We introduce a novel method for indoor localization with the user&rsquo
s own smartphone by learning personalized walking patterns outdoors. Most smartphone and pedestrian dead reckoning (PDR)-based indoor localization studies have used an opera
s own smartphone by learning personalized walking patterns outdoors. Most smartphone and pedestrian dead reckoning (PDR)-based indoor localization studies have used an opera
Publikováno v:
The Journal of Korea Information and Communications Society. :1170-1181
Wireless Sensor Networks(WSNs) are used in diverse applications. In general, sensor nodes that are easily deployed on specific areas have many resource constrains such as battery power, memory sizes, MCUs, RFs and so on. Hence, first of all, the effi
Publikováno v:
The Journal of Korea Information and Communications Society. 37:637-646
Recently, Wireless Sensor Networks (WSNs) are used in many applications. When sensor nodes are deployed on special areas, where humans have any difficulties to get in, the nodes form network topology themselves. By using the sensor nodes, users are a